Instructions to use CrucibleAI/ControlNetMediaPipeFace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CrucibleAI/ControlNetMediaPipeFace with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("CrucibleAI/ControlNetMediaPipeFace") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- fd464af776b7ecbef7f17c97bbd09d3c24e29645f6042f8025fb4e000ceff9a7
- Size of remote file:
- 32.8 kB
- SHA256:
- f427a26fbfe285b48483ec6f14f3f9061a045ebfa9c2174e1292a1148dd07eb7
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